Analyzing Textile Industry by Linear Programming

Zhaoxiang Feng (), Ruokai Wang (), Xijun Huang (), Xiao Jiang () and Yanru Liu ()
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Zhaoxiang Feng: Greensboro Day School
Ruokai Wang: Pui Kiu College
Xijun Huang: The State University of New Jersey
Xiao Jiang: Queen Mary University of London
Yanru Liu: Xi’an Gaoxin

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 1459-1463 from Springer

Abstract: Abstract In this paper, we are trying to optimize the production in the Textile industry with linear programming. To achieve this goal, we need to have a detailed understanding of the various demand factors in the production process, including the capital, production consumption, and quantity of raw materials. With the production data collected from the textile industry, we tested the linear programming model. The result has proven that such a strategy can optimize production methods and maximize profit.

Keywords: Manufacturing; Linear Programming; Textile (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_216

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DOI: 10.2991/978-94-6463-036-7_216

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